OOD Detection on CIFAR-100 (ID) vs TImageNet (OOD)
0.9424AUROCNGC
Evaluation Results
| Method | Links | |
|---|---|---|
| NGCSupervised detection=false, IND noise level=50% sym., OOD samples in training set=20k, OOD samples in test set=10k2021.08 | 0.9424 | |
| ODINSupervised detection=true, IND noise level=50% sym., OOD samples in training set=20k, OOD samples in test set=10k2021.08 | 0.9136 | |
| MSPSupervised detection=true, IND noise level=50% sym., OOD samples in training set=20k, OOD samples in test set=10k2021.08 | 0.8659 | |
| Bootstrap DistillUncertainty Measure=Differential Entropy (Dent)2024.02 | 0.841 | |
| END2Uncertainty Measure=Differential Entropy (Dent)2024.02 | 0.832 | |
| MoDEXsetting=standard, uncertainty_estimate=epistemic2026.05 | 0.8022 | |
| F-EDLArchitecture=ResNet-18, Uncertainty Type=epistemic, Setting=classical2025.10 | 0.7924 | |
| F-EDLsetting=standard, uncertainty_estimate=epistemic2026.05 | 0.7924 | |
| Bootstrap DistillUncertainty Measure=Mutual Information (MI)2024.02 | 0.782 | |
| END2Uncertainty Measure=Mutual Information (MI)2024.02 | 0.766 | |
| Fisher-EDLUncertainty Measure=Differential Entropy (Dent)2024.02 | 0.754 | |
| DAEDLArchitecture=ResNet-18, Uncertainty Type=epistemic, Setting=classical2025.10 | 0.7504 | |
| DAEDLsetting=standard, uncertainty_estimate=epistemic2026.05 | 0.7504 | |
| Fisher-EDLUncertainty Measure=Mutual Information (MI)2024.02 | 0.748 | |
| Re-EDLsetting=standard, uncertainty_estimate=epistemic2026.05 | 0.7467 | |
| EDLUncertainty Measure=Mutual Information (MI)2024.02 | 0.737 | |
| EDLUncertainty Measure=Differential Entropy (Dent)2024.02 | 0.735 | |
| I-EDLArchitecture=ResNet-18, Uncertainty Type=epistemic, Setting=classical2025.10 | 0.7334 | |
| I-EDLsetting=standard, uncertainty_estimate=epistemic2026.05 | 0.7334 | |
| PostNetUncertainty Measure=Differential Entropy (Dent)2024.02 | 0.72 | |
| S2DUncertainty Measure=Mutual Information (MI)2024.02 | 0.715 | |
| BMUncertainty Measure=Mutual Information (MI)2024.02 | 0.714 | |
| R-EDLArchitecture=ResNet-18, Uncertainty Type=epistemic, Setting=classical2025.10 | 0.711 | |
| R-EDLsetting=standard, uncertainty_estimate=epistemic2026.05 | 0.711 | |
| BMUncertainty Measure=Differential Entropy (Dent)2024.02 | 0.702 | |
| SSDSupervised detection=false, IND noise level=50% sym., OOD samples in training set=20k, OOD samples in test set=10k2021.08 | 0.685 | |
| MDSupervised detection=true, IND noise level=50% sym., OOD samples in training set=20k, OOD samples in test set=10k2021.08 | 0.6733 | |
| SSDSupervised detection=true, IND noise level=50% sym., OOD samples in training set=20k, OOD samples in test set=10k2021.08 | 0.6548 | |
| EDLArchitecture=ResNet-18, Uncertainty Type=epistemic, Setting=classical2025.10 | 0.6532 | |
| EDLsetting=standard, uncertainty_estimate=epistemic2026.05 | 0.6532 | |
| PostNetUncertainty Measure=Mutual Information (MI)2024.02 | 0.644 | |
| RPriorNetUncertainty Measure=Differential Entropy (Dent)2024.02 | 0.631 | |
| RPriorNetUncertainty Measure=Mutual Information (MI)2024.02 | 0.616 | |
| RotSupervised detection=false, IND noise level=50% sym., OOD samples in training set=20k, OOD samples in test set=10k2021.08 | 0.5863 | |
| RotSupervised detection=true, IND noise level=50% sym., OOD samples in training set=20k, OOD samples in test set=10k2021.08 | 0.574 | |
| S2DUncertainty Measure=Differential Entropy (Dent)2024.02 | 0.509 | |
| NatPNUncertainty Measure=Differential Entropy (Dent)2024.02 | 0.496 | |
| NatPNUncertainty Measure=Mutual Information (MI)2024.02 | 0.435 |